A result that cannot be reproduced cannot be checked. We build research systems where the data, the code and the settings behind every result are kept together, so any test can be rerun months later and give the same answer.
What the work covers
- Python research infrastructure, from data handling to reporting
- Distributed computing grid for strategy validation and grid execution
- Reproducible research pipelines with versioned data and results
To discuss a project, write to our contact address.